Index

A

acf() (in module pyFTS.benchmarks.Measures) AdaptiveExpectation (class in pyFTS.common.Transformations) add_new_PWFLGR() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) alias (pyFTS.models.multivariate.variable.Variable attribute) AllMethodEnsembleFTS (class in pyFTS.models.ensemble.ensemble) alpha (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) alpha_cut (pyFTS.common.fts.FTS attribute) (pyFTS.models.multivariate.variable.Variable attribute) analytic_tabular_dataframe() (in module pyFTS.benchmarks.Util) analytical_data_columns() (in module pyFTS.benchmarks.Util) append() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.partitioners.Simple.SimplePartitioner method) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_complex() (pyFTS.partitioners.Simple.SimplePartitioner method) append_interval() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) append_lhs() (pyFTS.models.hofts.HighOrderFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) append_log() (pyFTS.common.fts.FTS method) append_model() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) append_rhs() (pyFTS.common.flrg.FLRG method) (pyFTS.models.chen.ConventionalFLRG method) (pyFTS.models.hofts.HighOrderFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.sadaei.ExponentialyWeightedFLRG method) (pyFTS.models.seasonal.cmsfts.ContextualSeasonalFLRG method) (pyFTS.models.seasonal.sfts.SeasonalFLRG method) (pyFTS.models.yu.WeightedFLRG method)

append_rule() (pyFTS.common.fts.FTS method) append_set() (pyFTS.common.Composite.FuzzySet method) (pyFTS.models.multivariate.common.MultivariateFuzzySet method) append_transformation() (pyFTS.common.fts.FTS method) append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method) appendChild() (pyFTS.common.tree.FLRGTreeNode method) apply() (pyFTS.common.Transformations.AdaptiveExpectation method) (pyFTS.common.Transformations.BoxCox method) (pyFTS.common.Transformations.Differential method) (pyFTS.common.Transformations.LinearTrend method) (pyFTS.common.Transformations.ROI method) (pyFTS.common.Transformations.Scale method) (pyFTS.common.Transformations.Transformation method) apply_inverse_transformations() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.variable.Variable method) apply_transformations() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.variable.Variable method) ar() (pyFTS.benchmarks.arima.ARIMA method) ARIMA (class in pyFTS.benchmarks.arima) (class in pyFTS.benchmarks.BSTS) around() (pyFTS.common.SortedCollection.SortedCollection method) auto_update (pyFTS.common.fts.FTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) averageloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

B

base_dataframe_columns() (in module pyFTS.benchmarks.Util) batch_size (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) bellmf() (in module pyFTS.common.Membership) benchmark_only (pyFTS.common.fts.FTS attribute) bestSplit() (in module pyFTS.partitioners.Entropy) between() (pyFTS.common.SortedCollection.SortedCollection method) bins (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) blip() (pyFTS.data.artificial.SignalEmulator method) BoxCox (class in pyFTS.common.Transformations) BoxLjungStatistic() (in module pyFTS.benchmarks.Tests) BoxPierceStatistic() (in module pyFTS.benchmarks.Tests) brier_score() (in module pyFTS.benchmarks.Measures) build() (pyFTS.models.multivariate.grid.GridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.multivariate.variable.Variable method) (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) (pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.CMeans.CMeansPartitioner method) (pyFTS.partitioners.Entropy.EntropyPartitioner method) (pyFTS.partitioners.FCM.FCMPartitioner method) (pyFTS.partitioners.Grid.GridPartitioner method) (pyFTS.partitioners.Huarng.HuarngPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) (pyFTS.partitioners.Singleton.SingletonPartitioner method) (pyFTS.partitioners.SubClust.SubClustPartitioner method)

build_cdf_qtl() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) build_index() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) build_tree_without_order() (in module pyFTS.common.tree)

C

c_means() (in module pyFTS.partitioners.CMeans) cast_dataframe_to_synthetic() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_interval() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_point() (in module pyFTS.benchmarks.Util) cast_dataframe_to_synthetic_probabilistic() (in module pyFTS.benchmarks.Util) centroid (pyFTS.common.FuzzySet.FuzzySet attribute) change_target_variable() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) check_bounds() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) (pyFTS.partitioners.partitioner.Partitioner method) check_bounds_index() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.nonstationary.common) check_data() (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) check_ignore_list() (in module pyFTS.benchmarks.Util) check_replace_list() (in module pyFTS.benchmarks.Util) clear() (pyFTS.common.SortedCollection.SortedCollection method) clip_uod() (pyFTS.common.fts.FTS method) clone_parameters() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) cluster_method() (in module pyFTS.hyperparam.GridSearch) ClusteredMVFTS (class in pyFTS.models.multivariate.cmvfts) CMeansPartitioner (class in pyFTS.partitioners.CMeans) common_process_interval_jobs() (in module pyFTS.benchmarks.benchmarks) common_process_point_jobs() (in module pyFTS.benchmarks.benchmarks) common_process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks)

common_process_time_jobs() (in module pyFTS.benchmarks.benchmarks) compare_residuals() (in module pyFTS.benchmarks.ResidualAnalysis) compareModelsPlot() (in module pyFTS.benchmarks.benchmarks) compareModelsTable() (in module pyFTS.benchmarks.benchmarks) components (pyFTS.data.artificial.SignalEmulator attribute) conditional_perturbation_factors() (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) ConditionalVarianceFTS (class in pyFTS.models.nonstationary.cvfts) configure_lags() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) ContextualMultiSeasonalFTS (class in pyFTS.models.seasonal.cmsfts) ContextualSeasonalFLRG (class in pyFTS.models.seasonal.cmsfts) ConventionalFLRG (class in pyFTS.models.chen) ConventionalFTS (class in pyFTS.models.chen) (class in pyFTS.models.song) ConventionalNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts) copy() (pyFTS.common.SortedCollection.SortedCollection method) count() (pyFTS.common.SortedCollection.SortedCollection method) coverage() (in module pyFTS.benchmarks.Measures) create_benchmark_tables() (in module pyFTS.benchmarks.Util) create_hyperparam_tables() (in module pyFTS.hyperparam.Util) crossentropy() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) crossover() (in module pyFTS.hyperparam.Evolutionary) crps() (in module pyFTS.benchmarks.Measures) cumulative() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) current_milli_time() (in module pyFTS.common.Util)

D

data_field (pyFTS.common.Transformations.LinearTrend attribute) data_label (pyFTS.models.multivariate.variable.Variable attribute) data_type (pyFTS.models.multivariate.variable.Variable attribute) DataFrameSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) DateTime (class in pyFTS.models.seasonal.common) datetime_mask (pyFTS.common.Transformations.LinearTrend attribute) DateTimeSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) day_of_month (pyFTS.models.seasonal.common.DateTime attribute) day_of_week (pyFTS.models.seasonal.common.DateTime attribute) day_of_year (pyFTS.models.seasonal.common.DateTime attribute) defuzzyfy() (pyFTS.models.multivariate.grid.GridCluster method) (pyFTS.partitioners.partitioner.Partitioner method)

density() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) detail (pyFTS.common.fts.FTS attribute) dict_individual() (in module pyFTS.hyperparam.GridSearch) Differential (class in pyFTS.common.Transformations) differential_offset() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) distance() (in module pyFTS.partitioners.CMeans) distributed_model_train_test_time() (in module pyFTS.benchmarks.benchmarks) distributed_predict() (in module pyFTS.distributed.dispy) distributed_train() (in module pyFTS.distributed.dispy) double_tournament() (in module pyFTS.hyperparam.Evolutionary) draw_sets_on_axis() (in module pyFTS.common.Util)

E

elitism() (in module pyFTS.hyperparam.Evolutionary) empiricalloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) EnsembleFTS (class in pyFTS.models.ensemble.ensemble) entropy() (in module pyFTS.partitioners.Entropy) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) EntropyPartitioner (class in pyFTS.partitioners.Entropy) enumerate2() (in module pyFTS.common.Util) evaluate() (in module pyFTS.hyperparam.Evolutionary) execute() (in module pyFTS.hyperparam.Evolutionary) (in module pyFTS.hyperparam.GridSearch)

expected_value() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) explore_partitioners() (in module pyFTS.partitioners.parallel_util) (in module pyFTS.partitioners.Util) exponential() (in module pyFTS.models.nonstationary.perturbation) ExponentialyWeightedFLRG (class in pyFTS.models.sadaei) ExponentialyWeightedFTS (class in pyFTS.models.sadaei) extract_measure() (in module pyFTS.benchmarks.Util) extractor() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method)

F

FCMPartitioner (class in pyFTS.partitioners.FCM) find() (pyFTS.common.SortedCollection.SortedCollection method) find_best() (in module pyFTS.benchmarks.Util) find_ge() (pyFTS.common.SortedCollection.SortedCollection method) find_gt() (pyFTS.common.SortedCollection.SortedCollection method) find_le() (pyFTS.common.SortedCollection.SortedCollection method) find_lt() (pyFTS.common.SortedCollection.SortedCollection method) fit() (pyFTS.common.fts.FTS method) flat() (in module pyFTS.common.tree) FLR (class in pyFTS.common.FLR) (class in pyFTS.models.multivariate.FLR) flr_membership_matrix() (pyFTS.models.song.ConventionalFTS method) FLRG (class in pyFTS.common.flrg) (class in pyFTS.models.multivariate.flrg) flrg_lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_lhs_conditional_probability_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_lhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrg_rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) flrgs (pyFTS.common.fts.FTS attribute) FLRGTree (class in pyFTS.common.tree) FLRGTreeNode (class in pyFTS.common.tree) forecast() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.naive.Naive method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.chen.ConventionalFTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) (pyFTS.models.song.ConventionalFTS method) (pyFTS.models.yu.WeightedFTS method) forecast_ahead() (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.common.fts.FTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) forecast_ahead_distribution() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_ahead_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)

forecast_ahead_multivariate() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) forecast_distribution() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_distribution_from_distribution() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_interval() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) forecast_multivariate() (pyFTS.common.fts.FTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) format_data() (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) format_experiment_table() (in module pyFTS.benchmarks.Tests) from_point() (in module pyFTS.probabilistic.ProbabilityDistribution) FTS (class in pyFTS.common.fts) fts_method (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS attribute) fts_params (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS attribute) fuzzify() (in module pyFTS.models.nonstationary.common) fuzzy() (pyFTS.common.fts.FTS method) fuzzy_cmeans() (in module pyFTS.partitioners.FCM) fuzzy_distance() (in module pyFTS.partitioners.FCM) fuzzyfy() (in module pyFTS.common.FuzzySet) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.grid.IncrementalGridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) fuzzyfy_instance() (in module pyFTS.common.FuzzySet) (in module pyFTS.models.multivariate.common) fuzzyfy_instance_clustered() (in module pyFTS.models.multivariate.common) fuzzyfy_instances() (in module pyFTS.common.FuzzySet) fuzzyfy_series() (in module pyFTS.common.FuzzySet) fuzzyfy_series_old() (in module pyFTS.common.FuzzySet) fuzzySeries() (in module pyFTS.models.nonstationary.common) FuzzySet (class in pyFTS.common.Composite) (class in pyFTS.common.FuzzySet) (class in pyFTS.models.nonstationary.common) (class in pyFTS.models.seasonal.common)

G

gaussmf() (in module pyFTS.common.Membership) generate_flrg() (pyFTS.models.chen.ConventionalFTS method) generate_FLRG() (pyFTS.models.cheng.TrendWeightedFTS method) generate_flrg() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.multivariate.wmvfts.WeightedMVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) generate_FLRG() (pyFTS.models.yu.WeightedFTS method) generate_flrg2() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) generate_gaussian_linear() (in module pyFTS.data.artificial) generate_high_order_recurrent_flr() (in module pyFTS.common.FLR) generate_indexed_flrs() (in module pyFTS.common.FLR) generate_indexes() (pyFTS.common.Transformations.LinearTrend method) generate_lhs_flrg() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_lhs_flrg_fuzzyfied() (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hofts.WeightedHighOrderFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) generate_linear_periodic_gaussian() (in module pyFTS.data.artificial) generate_non_recurrent_flrs() (in module pyFTS.common.FLR) generate_recurrent_flrs() (in module pyFTS.common.FLR) generate_sinoidal_periodic_gaussian() (in module pyFTS.data.artificial) generate_uniform_linear() (in module pyFTS.data.artificial) GeneticAlgorithm() (in module pyFTS.hyperparam.Evolutionary) genotype() (in module pyFTS.hyperparam.Evolutionary) get_benchmark_interval_methods() (in module pyFTS.benchmarks.benchmarks) get_benchmark_point_methods() (in module pyFTS.benchmarks.benchmarks) get_benchmark_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks) get_data() (in module pyFTS.data.AirPassengers) (in module pyFTS.data.Bitcoin) (in module pyFTS.data.DowJones) (in module pyFTS.data.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.GBPUSD) (in module pyFTS.data.henon) (in module pyFTS.data.logistic_map) (in module pyFTS.data.lorentz) (in module pyFTS.data.mackey_glass) (in module pyFTS.data.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.rossler) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.sunspots) (in module pyFTS.data.TAIEX) (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_data_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_dataframe() (in module pyFTS.data.AirPassengers) (in module pyFTS.data.Bitcoin) (in module pyFTS.data.common) (in module pyFTS.data.DowJones) (in module pyFTS.data.Enrollments) (in module pyFTS.data.Ethereum) (in module pyFTS.data.EURGBP) (in module pyFTS.data.EURUSD) (in module pyFTS.data.GBPUSD) (in module pyFTS.data.henon) (in module pyFTS.data.INMET) (in module pyFTS.data.lorentz) (in module pyFTS.data.Malaysia) (in module pyFTS.data.NASDAQ) (in module pyFTS.data.rossler) (in module pyFTS.data.SONDA) (in module pyFTS.data.SP500) (in module pyFTS.data.sunspots) (in module pyFTS.data.TAIEX) get_dataframe_from_bd() (in module pyFTS.benchmarks.Util) get_distribution_ahead_statistics() (in module pyFTS.benchmarks.Measures)

get_distribution_interquantile() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_distribution_statistics() (in module pyFTS.benchmarks.Measures) get_fuzzysets() (in module pyFTS.common.FuzzySet) get_index() (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_index_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_interval() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_interval_ahead_statistics() (in module pyFTS.benchmarks.Measures) get_interval_methods() (in module pyFTS.benchmarks.benchmarks) get_interval_statistics() (in module pyFTS.benchmarks.Measures) get_key() (pyFTS.common.flrg.FLRG method) (pyFTS.models.chen.ConventionalFLRG method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method) (pyFTS.models.seasonal.sfts.SeasonalFLRG method) get_lower() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_maximum_membership_fuzzyset() (in module pyFTS.common.FuzzySet) get_maximum_membership_fuzzyset_index() (in module pyFTS.common.FuzzySet) get_membership() (pyFTS.common.flrg.FLRG method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) get_midpoint() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_midpoints() (pyFTS.common.flrg.FLRG method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) get_models_forecasts() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_name() (pyFTS.partitioners.partitioner.Partitioner method) get_number_of_cpus() (in module pyFTS.distributed.dispy) get_point() (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_point_ahead_statistics() (in module pyFTS.benchmarks.Measures) get_point_methods() (in module pyFTS.benchmarks.benchmarks) get_point_multivariate_methods() (in module pyFTS.benchmarks.benchmarks) get_point_statistics() (in module pyFTS.benchmarks.Measures) get_polynomial_perturbations() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) get_probabilistic_methods() (in module pyFTS.benchmarks.benchmarks) get_season_by_index() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_season_of_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method) get_sequence_membership() (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) get_sets_from_both_fuzzyfication() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) get_UoD() (pyFTS.common.fts.FTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) get_upper() (pyFTS.common.flrg.FLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ifts.IntervalFTS method) (pyFTS.models.ifts.WeightedIntervalFTS method) (pyFTS.models.multivariate.flrg.FLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.common.FuzzySet method) (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) getChildren() (pyFTS.common.tree.FLRGTreeNode method) getStr() (pyFTS.common.tree.FLRGTreeNode method) grant_bounds() (in module pyFTS.common.FuzzySet) GranularWMVFTS (class in pyFTS.models.multivariate.granular) GridCluster (class in pyFTS.models.multivariate.grid) GridPartitioner (class in pyFTS.partitioners.Grid)

H

h (pyFTS.probabilistic.kde.KernelSmoothing attribute) half (pyFTS.models.seasonal.common.DateTime attribute) has_interval_forecasting (pyFTS.common.fts.FTS attribute) has_point_forecasting (pyFTS.common.fts.FTS attribute) has_probability_forecasting (pyFTS.common.fts.FTS attribute) has_seasonality (pyFTS.common.fts.FTS attribute) HighOrderFLRG (class in pyFTS.models.hofts) HighOrderFTS (class in pyFTS.models.hofts) (class in pyFTS.models.hwang)

HighOrderNonstationaryFLRG (class in pyFTS.models.nonstationary.cvfts) HighOrderNonStationaryFLRG (class in pyFTS.models.nonstationary.honsfts) HighOrderNonStationaryFTS (class in pyFTS.models.nonstationary.honsfts) hour (pyFTS.models.seasonal.common.DateTime attribute) hour_of_day (pyFTS.models.seasonal.common.DateTime attribute) hour_of_month (pyFTS.models.seasonal.common.DateTime attribute) hour_of_week (pyFTS.models.seasonal.common.DateTime attribute) hour_of_year (pyFTS.models.seasonal.common.DateTime attribute) HuarngPartitioner (class in pyFTS.partitioners.Huarng)

I

imax() (in module pyFTS.partitioners.SubClust) ImprovedWeightedFLRG (class in pyFTS.models.ismailefendi) ImprovedWeightedFTS (class in pyFTS.models.ismailefendi) increment() (pyFTS.common.Transformations.LinearTrend method) incremental_gaussian() (pyFTS.data.artificial.SignalEmulator method) incremental_search() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) IncrementalEnsembleFTS (class in pyFTS.models.incremental.IncrementalEnsemble) IncrementalGridCluster (class in pyFTS.models.multivariate.grid) index (pyFTS.common.FLR.IndexedFLR attribute) index() (pyFTS.common.SortedCollection.SortedCollection method) index_field (pyFTS.common.Transformations.LinearTrend attribute) index_type (pyFTS.common.Transformations.LinearTrend attribute) IndexedFLR (class in pyFTS.common.FLR) indexer (pyFTS.common.fts.FTS attribute) inference() (pyFTS.benchmarks.BSTS.ARIMA method) informationGain() (in module pyFTS.partitioners.Entropy) initial_population() (in module pyFTS.hyperparam.Evolutionary) insert() (pyFTS.common.SortedCollection.SortedCollection method) insert_benchmark() (in module pyFTS.benchmarks.Util) insert_hyperparam() (in module pyFTS.hyperparam.Util)

insert_right() (pyFTS.common.SortedCollection.SortedCollection method) inside() (pyFTS.common.SortedCollection.SortedCollection method) interval_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) interval_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) interval_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) interval_method (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) interval_quantile() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) interval_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method) IntervalFTS (class in pyFTS.models.ifts) inverse() (pyFTS.common.Transformations.AdaptiveExpectation method) (pyFTS.common.Transformations.BoxCox method) (pyFTS.common.Transformations.Differential method) (pyFTS.common.Transformations.LinearTrend method) (pyFTS.common.Transformations.ROI method) (pyFTS.common.Transformations.Scale method) (pyFTS.common.Transformations.Transformation method) is_clustered (pyFTS.common.fts.FTS attribute) is_high_order (pyFTS.common.fts.FTS attribute) is_multivariate (pyFTS.common.fts.FTS attribute) is_time_variant (pyFTS.common.fts.FTS attribute) is_wrapper (pyFTS.common.fts.FTS attribute)

K

kdtree (pyFTS.partitioners.partitioner.Partitioner attribute) kernel (pyFTS.probabilistic.kde.KernelSmoothing attribute) kernel_function() (pyFTS.probabilistic.kde.KernelSmoothing method) KernelSmoothing (class in pyFTS.probabilistic.kde)

key() (pyFTS.common.SortedCollection.SortedCollection property) KNearestNeighbors (class in pyFTS.benchmarks.knn) knn() (pyFTS.benchmarks.knn.KNearestNeighbors method) kullbackleiblerdivergence() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

L

labels (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) lag_crossover2() (in module pyFTS.hyperparam.Evolutionary) lags (pyFTS.common.fts.FTS attribute) len_total() (pyFTS.common.fts.FTS method) LHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) lhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) lhs_conditional_probability_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) linear() (in module pyFTS.models.nonstationary.perturbation) linearmodel() (pyFTS.benchmarks.quantreg.QuantileRegression method) LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)

LinearTrend (class in pyFTS.common.Transformations) ljung_box_test() (in module pyFTS.benchmarks.ResidualAnalysis) load_env() (in module pyFTS.common.Util) load_obj() (in module pyFTS.common.Util) location (pyFTS.models.nonstationary.common.FuzzySet attribute) location_params (pyFTS.models.nonstationary.common.FuzzySet attribute) log (pyFTS.common.fts.FTS attribute) log_result() (in module pyFTS.hyperparam.Evolutionary) logarithm_score() (in module pyFTS.benchmarks.Measures) lower_margin (pyFTS.partitioners.partitioner.Partitioner attribute) lower_set() (pyFTS.partitioners.partitioner.Partitioner method)

M

ma() (pyFTS.benchmarks.arima.ARIMA method) mape() (in module pyFTS.benchmarks.Measures) mape_interval() (in module pyFTS.benchmarks.Measures) margin (pyFTS.partitioners.partitioner.Partitioner attribute) mask (pyFTS.models.multivariate.variable.Variable attribute) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner attribute) max_lag (pyFTS.common.fts.FTS attribute) membership() (in module pyFTS.partitioners.FCM) (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.multivariate.common.MultivariateFuzzySet method) (pyFTS.models.nonstationary.common.FuzzySet method) membership_function (pyFTS.partitioners.partitioner.Partitioner attribute) merge() (pyFTS.common.fts.FTS method) method (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS attribute) mf (pyFTS.common.FuzzySet.FuzzySet attribute) min_order (pyFTS.common.fts.FTS attribute) minute (pyFTS.models.seasonal.common.DateTime attribute) minute_of_day (pyFTS.models.seasonal.common.DateTime attribute) minute_of_hour (pyFTS.models.seasonal.common.DateTime attribute) minute_of_month (pyFTS.models.seasonal.common.DateTime attribute) minute_of_week (pyFTS.models.seasonal.common.DateTime attribute) minute_of_year (pyFTS.models.seasonal.common.DateTime attribute) model (pyFTS.common.Transformations.LinearTrend attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS attribute) (pyFTS.models.multivariate.granular.GranularWMVFTS attribute) models (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) module pyFTS pyFTS.benchmarks pyFTS.benchmarks.arima pyFTS.benchmarks.benchmarks pyFTS.benchmarks.BSTS pyFTS.benchmarks.knn pyFTS.benchmarks.Measures pyFTS.benchmarks.naive pyFTS.benchmarks.quantreg pyFTS.benchmarks.ResidualAnalysis pyFTS.benchmarks.Tests pyFTS.benchmarks.Util pyFTS.common pyFTS.common.Composite pyFTS.common.FLR pyFTS.common.flrg pyFTS.common.fts pyFTS.common.FuzzySet pyFTS.common.Membership pyFTS.common.SortedCollection pyFTS.common.Transformations pyFTS.common.tree pyFTS.common.Util pyFTS.conf pyFTS.data pyFTS.data.AirPassengers pyFTS.data.artificial pyFTS.data.Bitcoin pyFTS.data.common pyFTS.data.DowJones pyFTS.data.Enrollments pyFTS.data.Ethereum pyFTS.data.EURGBP pyFTS.data.EURUSD pyFTS.data.GBPUSD pyFTS.data.henon pyFTS.data.INMET pyFTS.data.logistic_map pyFTS.data.lorentz pyFTS.data.mackey_glass pyFTS.data.Malaysia pyFTS.data.NASDAQ pyFTS.data.rossler pyFTS.data.SONDA pyFTS.data.SP500 pyFTS.data.sunspots pyFTS.data.TAIEX pyFTS.distributed pyFTS.distributed.dispy pyFTS.hyperparam pyFTS.hyperparam.Evolutionary pyFTS.hyperparam.GridSearch pyFTS.hyperparam.Util pyFTS.models pyFTS.models.chen pyFTS.models.cheng pyFTS.models.ensemble pyFTS.models.ensemble.ensemble pyFTS.models.ensemble.multiseasonal pyFTS.models.hofts pyFTS.models.hwang pyFTS.models.ifts pyFTS.models.incremental pyFTS.models.incremental.IncrementalEnsemble pyFTS.models.incremental.TimeVariant pyFTS.models.ismailefendi pyFTS.models.multivariate pyFTS.models.multivariate.cmvfts pyFTS.models.multivariate.common pyFTS.models.multivariate.FLR pyFTS.models.multivariate.flrg pyFTS.models.multivariate.granular pyFTS.models.multivariate.grid pyFTS.models.multivariate.mvfts pyFTS.models.multivariate.partitioner pyFTS.models.multivariate.variable pyFTS.models.multivariate.wmvfts pyFTS.models.nonstationary pyFTS.models.nonstationary.common pyFTS.models.nonstationary.cvfts pyFTS.models.nonstationary.flrg pyFTS.models.nonstationary.honsfts pyFTS.models.nonstationary.nsfts pyFTS.models.nonstationary.partitioners pyFTS.models.nonstationary.perturbation pyFTS.models.nonstationary.util pyFTS.models.pwfts pyFTS.models.sadaei pyFTS.models.seasonal pyFTS.models.seasonal.cmsfts pyFTS.models.seasonal.common pyFTS.models.seasonal.msfts pyFTS.models.seasonal.partitioner pyFTS.models.seasonal.SeasonalIndexer pyFTS.models.seasonal.sfts pyFTS.models.song pyFTS.models.yu pyFTS.partitioners pyFTS.partitioners.CMeans pyFTS.partitioners.Entropy pyFTS.partitioners.FCM pyFTS.partitioners.Grid pyFTS.partitioners.Huarng pyFTS.partitioners.parallel_util pyFTS.partitioners.partitioner pyFTS.partitioners.Simple pyFTS.partitioners.Singleton pyFTS.partitioners.SubClust pyFTS.partitioners.Util pyFTS.probabilistic pyFTS.probabilistic.kde pyFTS.probabilistic.ProbabilityDistribution

month (pyFTS.models.seasonal.common.DateTime attribute) MultiSeasonalFTS (class in pyFTS.models.seasonal.msfts) multivariate_sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks) MultivariateFuzzySet (class in pyFTS.models.multivariate.common) MultivariatePartitioner (class in pyFTS.models.multivariate.partitioner) mutation() (in module pyFTS.hyperparam.Evolutionary) mutation_lags() (in module pyFTS.hyperparam.Evolutionary) mv_run_interval2() (in module pyFTS.benchmarks.benchmarks) mv_run_point2() (in module pyFTS.benchmarks.benchmarks) mv_run_probabilistic2() (in module pyFTS.benchmarks.benchmarks) MVFTS (class in pyFTS.models.multivariate.mvfts)

N

Naive (class in pyFTS.benchmarks.naive) name (pyFTS.common.fts.FTS attribute) (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.models.multivariate.variable.Variable attribute) (pyFTS.partitioners.partitioner.Partitioner attribute)

noise (pyFTS.models.nonstationary.common.FuzzySet attribute) noise_params (pyFTS.models.nonstationary.common.FuzzySet attribute) NonStationaryFLRG (class in pyFTS.models.nonstationary.flrg) NonStationaryFTS (class in pyFTS.models.nonstationary.nsfts) num_models (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute)

O

offset() (pyFTS.common.fts.FTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) open_benchmark_db() (in module pyFTS.benchmarks.Util) open_hyperparam_db() (in module pyFTS.hyperparam.Util) operation_matrix() (pyFTS.models.song.ConventionalFTS method)

order (pyFTS.common.flrg.FLRG attribute) (pyFTS.common.fts.FTS attribute) ordered_sets (pyFTS.partitioners.partitioner.Partitioner attribute) orders (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS attribute) original_max (pyFTS.common.fts.FTS attribute) original_min (pyFTS.common.fts.FTS attribute)

P

parameters (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) parameters() (pyFTS.common.Transformations.AdaptiveExpectation property) (pyFTS.common.Transformations.BoxCox property) (pyFTS.common.Transformations.Differential property) (pyFTS.common.Transformations.Scale property) partition_function() (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) Partitioner (class in pyFTS.partitioners.partitioner) partitioner (pyFTS.common.fts.FTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) (pyFTS.models.multivariate.variable.Variable attribute) partitioner_method (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS attribute) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) partitioner_params (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) partitions (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS attribute) (pyFTS.partitioners.partitioner.Partitioner attribute) paths() (pyFTS.common.tree.FLRGTreeNode method) perform_location() (pyFTS.models.nonstationary.common.FuzzySet method) perform_width() (pyFTS.models.nonstationary.common.FuzzySet method) periodic() (in module pyFTS.models.nonstationary.perturbation) periodic_gaussian() (pyFTS.data.artificial.SignalEmulator method) persist_env() (in module pyFTS.common.Util) persist_obj() (in module pyFTS.common.Util) persist_statistics() (in module pyFTS.hyperparam.Evolutionary) perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method) perturbation_factors() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) perturbation_factors__old() (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) pftsExploreOrderAndPartitions() (in module pyFTS.benchmarks.benchmarks) phenotype() (in module pyFTS.hyperparam.Evolutionary) pinball() (in module pyFTS.benchmarks.Measures) pinball_mean() (in module pyFTS.benchmarks.Measures) plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) plot_compared_intervals_ahead() (in module pyFTS.common.Util) plot_compared_series() (in module pyFTS.benchmarks.benchmarks) plot_dataframe_interval() (in module pyFTS.benchmarks.Util) plot_dataframe_interval_pinball() (in module pyFTS.benchmarks.Util) plot_dataframe_point() (in module pyFTS.benchmarks.Util) plot_dataframe_probabilistic() (in module pyFTS.benchmarks.Util) plot_density_rectange() (in module pyFTS.common.Util) plot_distribution() (in module pyFTS.common.Util) plot_distribution2() (in module pyFTS.common.Util) plot_distribution_tiled() (in module pyFTS.common.Util) plot_interval() (in module pyFTS.common.Util) plot_interval2() (in module pyFTS.common.Util) plot_partitioners() (in module pyFTS.partitioners.Util) plot_point() (in module pyFTS.benchmarks.benchmarks) plot_probability_distributions() (in module pyFTS.common.Util) plot_residuals_by_model() (in module pyFTS.benchmarks.ResidualAnalysis) plot_rules() (in module pyFTS.common.Util) plot_set() (pyFTS.partitioners.partitioner.Partitioner method) plot_sets() (in module pyFTS.models.nonstationary.util) (in module pyFTS.partitioners.Util) plot_sets_conditional() (in module pyFTS.models.nonstationary.util) plotCompared() (in module pyFTS.benchmarks.benchmarks) PMF() (in module pyFTS.partitioners.Entropy) point_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) point_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) point_expected_value() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) point_heuristic() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) point_method (pyFTS.models.ensemble.ensemble.EnsembleFTS attribute) point_to_interval() (pyFTS.benchmarks.quantreg.QuantileRegression method) poly_width() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) polynomial() (in module pyFTS.models.nonstationary.perturbation) PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) post_hoc_tests() (in module pyFTS.benchmarks.Tests) predict() (pyFTS.common.fts.FTS method) prefix (pyFTS.partitioners.partitioner.Partitioner attribute) print_distribution_statistics() (in module pyFTS.benchmarks.benchmarks) print_interval_statistics() (in module pyFTS.benchmarks.benchmarks) print_point_statistics() (in module pyFTS.benchmarks.benchmarks) probabilistic_dataframe_analytic_columns() (in module pyFTS.benchmarks.Util) probabilistic_dataframe_synthetic_columns() (in module pyFTS.benchmarks.Util) ProbabilisticWeightedFLRG (class in pyFTS.models.pwfts) ProbabilisticWeightedFTS (class in pyFTS.models.pwfts) probability() (pyFTS.probabilistic.kde.KernelSmoothing method) ProbabilityDistribution (class in pyFTS.probabilistic.ProbabilityDistribution) process_common_data() (in module pyFTS.benchmarks.Util) process_common_data2() (in module pyFTS.benchmarks.Util) process_experiment() (in module pyFTS.hyperparam.Evolutionary) process_interval_jobs() (in module pyFTS.benchmarks.benchmarks) process_interval_jobs2() (in module pyFTS.benchmarks.benchmarks) process_jobs() (in module pyFTS.hyperparam.GridSearch) process_point_jobs() (in module pyFTS.benchmarks.benchmarks) process_point_jobs2() (in module pyFTS.benchmarks.benchmarks) process_probabilistic_jobs() (in module pyFTS.benchmarks.benchmarks) process_probabilistic_jobs2() (in module pyFTS.benchmarks.benchmarks) product_dict() (in module pyFTS.models.multivariate.mvfts) prune() (pyFTS.models.multivariate.grid.IncrementalGridCluster method) (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) pseudologlikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) pwflrg_lhs_memberhip_fuzzyfied() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) pyFTS module pyFTS.benchmarks module pyFTS.benchmarks.arima module pyFTS.benchmarks.benchmarks module pyFTS.benchmarks.BSTS module pyFTS.benchmarks.knn module pyFTS.benchmarks.Measures module pyFTS.benchmarks.naive module pyFTS.benchmarks.quantreg module pyFTS.benchmarks.ResidualAnalysis module pyFTS.benchmarks.Tests module pyFTS.benchmarks.Util module pyFTS.common module pyFTS.common.Composite module pyFTS.common.FLR module pyFTS.common.flrg module pyFTS.common.fts module pyFTS.common.FuzzySet module pyFTS.common.Membership module pyFTS.common.SortedCollection module pyFTS.common.Transformations module pyFTS.common.tree module pyFTS.common.Util module pyFTS.conf module pyFTS.data module pyFTS.data.AirPassengers module pyFTS.data.artificial module pyFTS.data.Bitcoin module pyFTS.data.common module pyFTS.data.DowJones module pyFTS.data.Enrollments module pyFTS.data.Ethereum module

pyFTS.data.EURGBP module pyFTS.data.EURUSD module pyFTS.data.GBPUSD module pyFTS.data.henon module pyFTS.data.INMET module pyFTS.data.logistic_map module pyFTS.data.lorentz module pyFTS.data.mackey_glass module pyFTS.data.Malaysia module pyFTS.data.NASDAQ module pyFTS.data.rossler module pyFTS.data.SONDA module pyFTS.data.SP500 module pyFTS.data.sunspots module pyFTS.data.TAIEX module pyFTS.distributed module pyFTS.distributed.dispy module pyFTS.hyperparam module pyFTS.hyperparam.Evolutionary module pyFTS.hyperparam.GridSearch module pyFTS.hyperparam.Util module pyFTS.models module pyFTS.models.chen module pyFTS.models.cheng module pyFTS.models.ensemble module pyFTS.models.ensemble.ensemble module pyFTS.models.ensemble.multiseasonal module pyFTS.models.hofts module pyFTS.models.hwang module pyFTS.models.ifts module pyFTS.models.incremental module pyFTS.models.incremental.IncrementalEnsemble module pyFTS.models.incremental.TimeVariant module pyFTS.models.ismailefendi module pyFTS.models.multivariate module pyFTS.models.multivariate.cmvfts module pyFTS.models.multivariate.common module pyFTS.models.multivariate.FLR module pyFTS.models.multivariate.flrg module pyFTS.models.multivariate.granular module pyFTS.models.multivariate.grid module pyFTS.models.multivariate.mvfts module pyFTS.models.multivariate.partitioner module pyFTS.models.multivariate.variable module pyFTS.models.multivariate.wmvfts module pyFTS.models.nonstationary module pyFTS.models.nonstationary.common module pyFTS.models.nonstationary.cvfts module pyFTS.models.nonstationary.flrg module pyFTS.models.nonstationary.honsfts module pyFTS.models.nonstationary.nsfts module pyFTS.models.nonstationary.partitioners module pyFTS.models.nonstationary.perturbation module pyFTS.models.nonstationary.util module pyFTS.models.pwfts module pyFTS.models.sadaei module pyFTS.models.seasonal module pyFTS.models.seasonal.cmsfts module pyFTS.models.seasonal.common module pyFTS.models.seasonal.msfts module pyFTS.models.seasonal.partitioner module pyFTS.models.seasonal.SeasonalIndexer module pyFTS.models.seasonal.sfts module pyFTS.models.song module pyFTS.models.yu module pyFTS.partitioners module pyFTS.partitioners.CMeans module pyFTS.partitioners.Entropy module pyFTS.partitioners.FCM module pyFTS.partitioners.Grid module pyFTS.partitioners.Huarng module pyFTS.partitioners.parallel_util module pyFTS.partitioners.partitioner module pyFTS.partitioners.Simple module pyFTS.partitioners.Singleton module pyFTS.partitioners.SubClust module pyFTS.partitioners.Util module pyFTS.probabilistic module pyFTS.probabilistic.kde module pyFTS.probabilistic.ProbabilityDistribution module

Q

quantile() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)

QuantileRegression (class in pyFTS.benchmarks.quantreg) quarter (pyFTS.models.seasonal.common.DateTime attribute)

R

random_genotype() (in module pyFTS.hyperparam.Evolutionary) random_walk() (in module pyFTS.data.artificial) remove() (pyFTS.common.SortedCollection.SortedCollection method) reset_calculated_values() (pyFTS.common.flrg.FLRG method) (pyFTS.common.fts.FTS method) residuals() (in module pyFTS.benchmarks.ResidualAnalysis) resolution() (in module pyFTS.benchmarks.Measures) Retrainer (class in pyFTS.models.incremental.TimeVariant) RHS (pyFTS.common.FLR.FLR attribute) (pyFTS.common.flrg.FLRG attribute) rhs_conditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method)

rhs_unconditional_probability() (pyFTS.models.pwfts.ProbabilisticWeightedFLRG method) rmse() (in module pyFTS.benchmarks.Measures) rmse_interval() (in module pyFTS.benchmarks.Measures) ROI (class in pyFTS.common.Transformations) run() (pyFTS.data.artificial.SignalEmulator method) run_interval() (in module pyFTS.benchmarks.benchmarks) run_interval2() (in module pyFTS.benchmarks.benchmarks) run_point() (in module pyFTS.benchmarks.benchmarks) run_point2() (in module pyFTS.benchmarks.benchmarks) run_probabilistic() (in module pyFTS.benchmarks.benchmarks) run_probabilistic2() (in module pyFTS.benchmarks.benchmarks)

S

sampler() (in module pyFTS.models.ensemble.ensemble) save_dataframe_interval() (in module pyFTS.benchmarks.Util) save_dataframe_point() (in module pyFTS.benchmarks.Util) save_dataframe_probabilistic() (in module pyFTS.benchmarks.Util) Scale (class in pyFTS.common.Transformations) scale() (in module pyFTS.benchmarks.Util) scale_down() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) scale_params() (in module pyFTS.benchmarks.Util) scale_up() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method) search() (pyFTS.models.multivariate.partitioner.MultivariatePartitioner method) (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method) (pyFTS.partitioners.partitioner.Partitioner method) season (pyFTS.models.seasonal.partitioner.TimeGridPartitioner attribute) SeasonalEnsembleFTS (class in pyFTS.models.ensemble.multiseasonal) SeasonalFLRG (class in pyFTS.models.seasonal.sfts) SeasonalFTS (class in pyFTS.models.seasonal.sfts) SeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer) second (pyFTS.models.seasonal.common.DateTime attribute) second_of_day (pyFTS.models.seasonal.common.DateTime attribute) second_of_hour (pyFTS.models.seasonal.common.DateTime attribute) second_of_minute (pyFTS.models.seasonal.common.DateTime attribute) SelecaoSimples_MenorRMSE() (in module pyFTS.benchmarks.benchmarks) set() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method) set_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method) (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method) set_lhs() (pyFTS.models.multivariate.FLR.FLR method) (pyFTS.models.multivariate.flrg.FLRG method) set_ordered() (in module pyFTS.common.FuzzySet) set_rhs() (pyFTS.models.multivariate.FLR.FLR method) set_target_variable() (pyFTS.models.multivariate.common.MultivariateFuzzySet method) set_transformations() (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method)

setnames (pyFTS.partitioners.partitioner.Partitioner attribute) sharpness() (in module pyFTS.benchmarks.Measures) shortname (pyFTS.common.fts.FTS attribute) show_and_save_image() (in module pyFTS.common.Util) sigmf() (in module pyFTS.common.Membership) SignalEmulator (class in pyFTS.data.artificial) simple_model_predict() (in module pyFTS.distributed.dispy) simple_model_train() (in module pyFTS.distributed.dispy) simple_synthetic_dataframe() (in module pyFTS.benchmarks.Util) SimpleEnsembleFTS (class in pyFTS.models.ensemble.ensemble) simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners) SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners) SimplePartitioner (class in pyFTS.partitioners.Simple) simpleSearch_RMSE() (in module pyFTS.benchmarks.benchmarks) single_plot_residuals() (in module pyFTS.benchmarks.ResidualAnalysis) singleton() (in module pyFTS.common.Membership) SingletonPartitioner (class in pyFTS.partitioners.Singleton) sixth (pyFTS.models.seasonal.common.DateTime attribute) sliding_window() (in module pyFTS.common.Util) sliding_window_benchmarks() (in module pyFTS.benchmarks.benchmarks) sliding_window_benchmarks2() (in module pyFTS.benchmarks.benchmarks) smape() (in module pyFTS.benchmarks.Measures) SortedCollection (class in pyFTS.common.SortedCollection) splitAbove() (in module pyFTS.partitioners.Entropy) splitBelow() (in module pyFTS.partitioners.Entropy) start_dispy_cluster() (in module pyFTS.distributed.dispy) stationary_gaussian() (pyFTS.data.artificial.SignalEmulator method) stats() (in module pyFTS.benchmarks.Util) stop_dispy_cluster() (in module pyFTS.distributed.dispy) strip_datepart() (in module pyFTS.models.seasonal.common) subclust() (in module pyFTS.partitioners.SubClust) SubClustPartitioner (class in pyFTS.partitioners.SubClust)

T

tabular_dataframe_columns() (in module pyFTS.benchmarks.Util) test_mean_equality() (in module pyFTS.benchmarks.Tests) TheilsInequality() (in module pyFTS.benchmarks.Measures) third (pyFTS.models.seasonal.common.DateTime attribute) TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner) tournament() (in module pyFTS.hyperparam.Evolutionary) train() (pyFTS.benchmarks.arima.ARIMA method) (pyFTS.benchmarks.BSTS.ARIMA method) (pyFTS.benchmarks.knn.KNearestNeighbors method) (pyFTS.benchmarks.quantreg.QuantileRegression method) (pyFTS.common.fts.FTS method) (pyFTS.common.Transformations.LinearTrend method) (pyFTS.models.chen.ConventionalFTS method) (pyFTS.models.ensemble.ensemble.AllMethodEnsembleFTS method) (pyFTS.models.ensemble.ensemble.EnsembleFTS method) (pyFTS.models.ensemble.ensemble.SimpleEnsembleFTS method) (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) (pyFTS.models.hofts.HighOrderFTS method) (pyFTS.models.hwang.HighOrderFTS method) (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS method) (pyFTS.models.incremental.TimeVariant.Retrainer method) (pyFTS.models.ismailefendi.ImprovedWeightedFTS method) (pyFTS.models.multivariate.cmvfts.ClusteredMVFTS method) (pyFTS.models.multivariate.granular.GranularWMVFTS method) (pyFTS.models.multivariate.mvfts.MVFTS method) (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.NonStationaryFTS method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS method) (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) (pyFTS.models.sadaei.ExponentialyWeightedFTS method) (pyFTS.models.seasonal.cmsfts.ContextualMultiSeasonalFTS method) (pyFTS.models.seasonal.msfts.MultiSeasonalFTS method) (pyFTS.models.seasonal.sfts.SeasonalFTS method) (pyFTS.models.song.ConventionalFTS method) (pyFTS.models.yu.WeightedFTS method)

train_individual_model() (in module pyFTS.models.ensemble.multiseasonal) train_test_time() (in module pyFTS.benchmarks.benchmarks) transform() (pyFTS.common.Composite.FuzzySet method) (pyFTS.common.FuzzySet.FuzzySet method) (pyFTS.models.seasonal.common.FuzzySet method) Transformation (class in pyFTS.common.Transformations) transformation (pyFTS.models.multivariate.variable.Variable attribute) (pyFTS.partitioners.partitioner.Partitioner attribute) transformations (pyFTS.common.fts.FTS attribute) transformations_param (pyFTS.common.fts.FTS attribute) trapmf() (in module pyFTS.common.Membership) trend() (pyFTS.common.Transformations.LinearTrend method) TrendWeightedFLRG (class in pyFTS.models.cheng) TrendWeightedFTS (class in pyFTS.models.cheng) trimf() (in module pyFTS.common.Membership) type (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.partitioners.partitioner.Partitioner attribute) (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)

U

unified_scaled_interval() (in module pyFTS.benchmarks.Util) unified_scaled_interval_pinball() (in module pyFTS.benchmarks.Util) unified_scaled_point() (in module pyFTS.benchmarks.Util) unified_scaled_probabilistic() (in module pyFTS.benchmarks.Util) uniquefilename() (in module pyFTS.common.Util) unpack_args() (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)

uod (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute) uod_clip (pyFTS.common.fts.FTS attribute) update_model() (pyFTS.models.pwfts.ProbabilisticWeightedFTS method) update_uod() (pyFTS.models.ensemble.multiseasonal.SeasonalEnsembleFTS method) upper_margin (pyFTS.partitioners.partitioner.Partitioner attribute) upper_set() (pyFTS.partitioners.partitioner.Partitioner method) UStatistic() (in module pyFTS.benchmarks.Measures)

V

Variable (class in pyFTS.models.multivariate.variable) variable (pyFTS.common.FuzzySet.FuzzySet attribute) (pyFTS.partitioners.partitioner.Partitioner attribute)

visualize_distributions() (in module pyFTS.models.pwfts)

W

WeightedFLRG (class in pyFTS.models.multivariate.wmvfts) (class in pyFTS.models.yu) WeightedFTS (class in pyFTS.models.yu) WeightedHighOrderFLRG (class in pyFTS.models.hofts) WeightedHighOrderFTS (class in pyFTS.models.hofts) WeightedIntervalFTS (class in pyFTS.models.ifts) WeightedMVFTS (class in pyFTS.models.multivariate.wmvfts) WeightedNonStationaryFLRG (class in pyFTS.models.nonstationary.nsfts) WeightedNonStationaryFTS (class in pyFTS.models.nonstationary.nsfts) weights() (pyFTS.models.cheng.TrendWeightedFLRG method) (pyFTS.models.hofts.WeightedHighOrderFLRG method) (pyFTS.models.ismailefendi.ImprovedWeightedFLRG method) (pyFTS.models.multivariate.wmvfts.WeightedFLRG method) (pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG method) (pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG method) (pyFTS.models.sadaei.ExponentialyWeightedFLRG method) (pyFTS.models.yu.WeightedFLRG method)

white_noise() (in module pyFTS.data.artificial) width (pyFTS.models.nonstationary.common.FuzzySet attribute) width_params (pyFTS.models.nonstationary.common.FuzzySet attribute) window_index() (in module pyFTS.models.nonstationary.common) window_length (pyFTS.models.incremental.IncrementalEnsemble.IncrementalEnsembleFTS attribute) (pyFTS.models.incremental.TimeVariant.Retrainer attribute) winkler_mean() (in module pyFTS.benchmarks.Measures) winkler_score() (in module pyFTS.benchmarks.Measures)

Y

year (pyFTS.models.seasonal.common.DateTime attribute)

Z

Z (pyFTS.common.FuzzySet.FuzzySet attribute)

Z() (in module pyFTS.common.Transformations)